| Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data CSH Ho, YL Chan, TWK Tan, GWN Tay, TB Tang Journal of psychiatric research 147, 194-202, 2022 | 10 | 2022 |
| MicroRNA classification and discovery for major depressive disorder diagnosis: Towards a robust and interpretable machine learning approach YL Chan, CSH Ho, GWN Tay, TWK Tan, TB Tang Journal of Affective Disorders 360, 326-335, 2024 | | 2024 |
| MRI economics: Balancing sample size and scan duration in brain wide association studies LQR Ooi, C Orban, TE Nichols, S Zhang, TWK Tan, R Kong, S Marek, ... bioRxiv, 2024 | 6 | 2024 |
| Rate of brain aging associates with future executive function in Asian children and older adults SF Cheng, WL Yue, KK Ng, X Qian, S Liu, TWK Tan, KN Nguyen, ... bioRxiv, 2023.11. 27.568184, 2023 | | 2023 |
| Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study J Chen, LQR Ooi, TWK Tan, S Zhang, J Li, CL Asplund, SB Eickhoff, ... NeuroImage 274, 120115, 2023 | 15 | 2023 |
| Using an interpretable amino acid-based machine learning method to enhance the diagnosis of major depressive disorder CSH Ho, TWK Tan, HCH Khoe, YL Chan, GWN Tay, TB Tang Journal of Clinical Medicine 13 (5), 1222, 2024 | | 2024 |
